Top 6 Highest-Paying Big Data Skills to Upgrade to in 2016

In the world of technology, it is no surprise for certifications to get easily outdated. That might be the sad part, but the silver lining is that newer skills are mostly based or built upon existing ones, which means experts of a subject don’t have to struggle much to acquire an upgradation. In fact, they would be better off than newbies who start afresh with a new skill.

If you are looking out to upgrade your skill set (which you should be doing, since … well, it’s the technology world!), here are 6 of the highest-paying skills for 2016 that you should consider.

Cassandra: It is a free, open source ‘noSQL’ database that stores and handles various types of data and is increasingly becoming the preferred choice for mobile and cloud applications. Apple and Netflix are among the biggest users of this system.

Cloudera: Cloudera makes the most popular version of ‘easily-usable’ Hadoop, which is a system through which huge amounts of data can be stored on and accessed through a network of low-cost servers. As you know it, the free version of Hadoop is not really convenient to use, making it imperative for efficient organizations to pick a paid, easy version.

HANA: It is an in-memory database, which does not require storage disks to work on. Since it uses entirely the memory, it can crunch an insane amount of data almost instantly.

MapReduce: This is a programming framework that analyses data to extract insights from it. It is most commonly used with Hadoop.

HortonWorks Data Platform: This is an open source platform that lets the existing data architecture of an organization to be integrated with Apache Hadoop. As more and more companies are joining the Hadoop bandwagon, a certification in this specialization will make you worth a lot.

Pig: It is a platform of the high-level that is used to analyze large data sets. This platform uses Pig Latin, a sophisticated language for expressing data analysis programs, along with infrastructure that evaluate these programs.

To land yourself a job using these skills, you need to obtain certification from a university or training institute. Several online courses offering certifications in these skills are also available for those unable to pursue a full-time course.

Have you been an observer of recent trends? What do you think is going to be the next most sought- after skill in the world of data science? Share in the comments section.